Learning and careers decision
Schoolreportai
A capable developer can build and run a useful token-based report-comment generator in about a week and low monthly maintenance; the vendor's value is polished prompts, UX, and convenience rather than an unreplicable moat.
Visit website↗Built by Pieter van Wyk, who ships 10 products in this index
Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off40 h to build
$5/mo4 h/mo upkeep
No published price to break even against.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Teacher selects student/subject and achievement level, types brief notes, system calls an LLM with curriculum-tuned prompts to generate a draft, teacher edits and exports the comment (tokens consumed per generation).
What it still won’t have
- Hand-tuned curriculum prompt set and iterative prompt engineering the vendor already did
- Polished UX and content examples/resources (templates, blog/guides)
- Token-based commerce convenience and priority support
What remains hard
- Execution quality
A purpose-built workspace for the language, scales, and reporting expectations you already work to.
- Brand trust
Built for International school teachers
First-year cost
No published price
Schoolreportai does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a lightweight single-tenant web app in Next.js + React with a Postgres DB (Supabase optional) and Node backend that: (1) provides auth, a dashboard to select student (code only), subject, year level, achievement level and tone, (2) accepts short teacher notes and maps selections to prompt templates for IB and Cambridge scales, (3) calls OpenAI-compatible API to generate a draft, (4) debits a local token balance on each generation and supports one-off Stripe purchases to top up tokens, (5) shows history and allows export to PDF/CSV, (6) stores only anonymised student codes (no PII). Out of scope: multi-tenant school admin billing, advanced moderation, and training custom models. Include error handling, retry logic for API calls, unit tests for prompt mapping and token accounting, and deployment scripts (Vercel for frontend, managed Postgres).
How we checked
How the score was reached
- Build verdict base78
- 3 cited sources+3
- 3/3 assessment runs agreed+4
- Evidence score85
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productSchool Report AI — Home (official product)
- official pricingSchool Report AI — Pricing (official pricing)
- official docsSchool Report AI — Features
Integrity checks
What held up, and what did not.